Approximating spatial interactions in a model of forest dynamics
| hal.structure.identifier | Centre de Coopération Internationale en Recherche Agronomique pour le Développement [Cirad] | |
| dc.contributor.author | PICARD, Nicolas | |
| hal.structure.identifier | Biodiversité, Gènes et Ecosystèmes [BioGeCo] | |
| hal.structure.identifier | Université Paris-Sud - Paris 11 [UP11] | |
| dc.contributor.author | FRANC, Alain | |
| dc.date.issued | 2004 | |
| dc.identifier.issn | 1740-5955 | |
| dc.description.abstractEn | Developments in forest dynamics modelling have led to complex individual-tree distance-dependent models. Questions that arise are: how might such complex models be approximated (possibly through aggregation techniques) to obtain distribution-based models; and, when are such approximated models “equivalent” to the complex models from which they are derived. The approximation process usually involves replacing distance-dependent tree interactions by distance-independent interactions. We used a “toy model” that is derived from an individual-based distancedependent model of a forest in French Guiana to address these methodological questions. This toy model (model I) was defined in two forms; first a short-range tree interaction (1 m); second for a long-range tree interaction (30 m). Mean-field approximations were used to convert model I into an individual-tree distance-independent model (model II) and into a distribution-based model (model III). If the starting model is model I(long-range), models II and III are shown to be equivalent to each other. Model II is also found to be “consistent” with model I(long-range). Hence, for the toy model considered, long-range interactions can be disregarded, and have no influence on forest growth predictions. On the other hand, model I(short-range) is not equivalent with models II or III. Even so, it was found to be possible to obtain, by ad hoc methods, a distribution-based model (model IV) which, by taking into account the spatial structure generated by short-range interactions, is “consistent” with model I(short range) | |
| dc.language.iso | en | |
| dc.subject | FOREST DYNAMICS | |
| dc.subject | ECOLOGIE | |
| dc.subject.en | AGGREGATION | |
| dc.subject.en | MEAN FIELD APPROXIMATION | |
| dc.subject.en | MOMENT EQUATIONS | |
| dc.subject.en | DISTANCE DEPENDENT INTERACTION | |
| dc.title.en | Approximating spatial interactions in a model of forest dynamics | |
| dc.type | Article de revue | |
| dc.subject.hal | Sciences du Vivant [q-bio] | |
| bordeaux.journal | FBMIS Forest Biometry Modelling and Information Sciences | |
| bordeaux.page | 91-103 | |
| bordeaux.volume | 1 | |
| bordeaux.peerReviewed | non | |
| hal.identifier | hal-02676696 | |
| hal.version | 1 | |
| hal.popular | non | |
| hal.audience | Internationale | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-02676696v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=FBMIS%20Forest%20Biometry%20Modelling%20and%20Information%20Sciences&rft.date=2004&rft.volume=1&rft.spage=91-103&rft.epage=91-103&rft.eissn=1740-5955&rft.issn=1740-5955&rft.au=PICARD,%20Nicolas&FRANC,%20Alain&rft.genre=article |
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